Herbert Venthur

778 total citations
31 papers, 602 citations indexed

About

Herbert Venthur is a scholar working on Cellular and Molecular Neuroscience, Insect Science and Molecular Biology. According to data from OpenAlex, Herbert Venthur has authored 31 papers receiving a total of 602 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 19 papers in Insect Science and 12 papers in Molecular Biology. Recurrent topics in Herbert Venthur's work include Neurobiology and Insect Physiology Research (23 papers), Insect and Arachnid Ecology and Behavior (10 papers) and Insect and Pesticide Research (9 papers). Herbert Venthur is often cited by papers focused on Neurobiology and Insect Physiology Research (23 papers), Insect and Arachnid Ecology and Behavior (10 papers) and Insect and Pesticide Research (9 papers). Herbert Venthur collaborates with scholars based in Chile, United Kingdom and China. Herbert Venthur's co-authors include Jing‐Jiang Zhou, Ana Mutis, Andrés Quiróz, Paola Fincheira, Rafael A. Homem, Patricio Iturriaga‐Vásquez, A.R. Cole, L. M. Field, Filomena De Biasio and Ricardo Ceballos and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Molecular Ecology.

In The Last Decade

Herbert Venthur

30 papers receiving 593 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Herbert Venthur Chile 14 362 343 187 160 132 31 602
Shilpa Swarup United States 10 256 0.7× 254 0.7× 219 1.2× 244 1.5× 291 2.2× 10 747
Young-Moo Choo United States 10 310 0.9× 286 0.8× 160 0.9× 139 0.9× 104 0.8× 18 513
Martine Maı̈bèche France 14 210 0.6× 380 1.1× 119 0.6× 238 1.5× 157 1.2× 24 569
Zhaojun Xin China 19 91 0.3× 496 1.4× 71 0.4× 252 1.6× 549 4.2× 32 836
Amali Thrimawithana New Zealand 11 85 0.2× 86 0.3× 76 0.4× 457 2.9× 361 2.7× 19 719
Marion J. Healy Australia 15 321 0.9× 213 0.6× 246 1.3× 358 2.2× 198 1.5× 29 786
Sukanya Ramasamy Sweden 8 113 0.3× 285 0.8× 66 0.4× 131 0.8× 133 1.0× 10 477
Youssef Dewer Egypt 22 778 2.1× 988 2.9× 506 2.7× 467 2.9× 326 2.5× 81 1.4k
Stephen M. Ferkovich United States 18 186 0.5× 587 1.7× 137 0.7× 271 1.7× 212 1.6× 54 766
Maryse Nicolaı̈ France 15 83 0.2× 72 0.2× 101 0.5× 698 4.4× 987 7.5× 16 1.2k

Countries citing papers authored by Herbert Venthur

Since Specialization
Citations

This map shows the geographic impact of Herbert Venthur's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Herbert Venthur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Herbert Venthur more than expected).

Fields of papers citing papers by Herbert Venthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herbert Venthur. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Herbert Venthur. The network helps show where Herbert Venthur may publish in the future.

Co-authorship network of co-authors of Herbert Venthur

This figure shows the co-authorship network connecting the top 25 collaborators of Herbert Venthur. A scholar is included among the top collaborators of Herbert Venthur based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Herbert Venthur. Herbert Venthur is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
López-Cortés, Xaviera A., et al.. (2025). Insight into the Relationships Between Chemical, Protein and Functional Variables in the PBP/GOBP Family in Moths Based on Machine Learning. International Journal of Molecular Sciences. 26(5). 2302–2302. 1 indexed citations
2.
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Mutis, Ana, et al.. (2025). Knockdown of a chemosensory protein disrupts soil-guided behavior of a subterranean larval pest. Journal of Insect Physiology. 162. 104793–104793. 1 indexed citations
4.
López-Cortés, Xaviera A., et al.. (2025). Accelerating VOC-OBP interaction screening via machine learning and molecular docking: Towards semiochemicals discovery for moth pests. Computational Biology and Chemistry. 120(Pt 1). 108794–108794.
5.
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Wicher, Dieter, et al.. (2023). A highly conserved plant volatile odorant receptor detects a sex pheromone component of the greater wax moth, Galleria mellonella (Lepidoptera: Pyralidae). Insect Biochemistry and Molecular Biology. 163. 104031–104031. 2 indexed citations
7.
Venthur, Herbert, et al.. (2023). Red palm weevil olfactory proteins annotated from the rostrum provide insights into the essential role in chemosensation and chemoreception. Frontiers in Ecology and Evolution. 11. 4 indexed citations
8.
Mutis, Ana, et al.. (2023). Comparative transcriptomic analysis of chemoreceptors in two sympatric scarab beetles, Hylamorpha elegans and Brachysternus prasinus. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 49. 101174–101174. 1 indexed citations
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Mutis, Ana, et al.. (2022). Insights Into Chemosensory Proteins From Non-Model Insects: Advances and Perspectives in the Context of Pest Management. Frontiers in Physiology. 13. 924750–924750. 16 indexed citations
11.
Li, Fen, Herbert Venthur, Shang Wang, Rafael A. Homem, & Jing‐Jiang Zhou. (2021). Evidence for the Involvement of the Chemosensory Protein AgosCSP5 in Resistance to Insecticides in the Cotton Aphid, Aphis gossypii. Insects. 12(4). 335–335. 24 indexed citations
12.
Venthur, Herbert, et al.. (2021). An Overview of Antennal Esterases in Lepidoptera. Frontiers in Physiology. 12. 643281–643281. 17 indexed citations
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14.
Quiróz, Andrés, et al.. (2019). Antennal morphology and localization of a general odorant-binding protein in the great wax moth, Galleria mellonella (Lepidoptera: Pyralidae). Journal of Apicultural Research. 59(4). 472–485. 6 indexed citations
15.
Venthur, Herbert, Jing‐Jiang Zhou, Giovanni Larama, et al.. (2019). Structural investigation of selective binding dynamics for the pheromone‐binding protein 1 of the grapevine moth, Lobesia botrana. Archives of Insect Biochemistry and Physiology. 101(3). e21557–e21557. 13 indexed citations
16.
Venthur, Herbert & Jing‐Jiang Zhou. (2018). Odorant Receptors and Odorant-Binding Proteins as Insect Pest Control Targets: A Comparative Analysis. Frontiers in Physiology. 9. 1163–1163. 169 indexed citations
17.
Ceballos, Ricardo, et al.. (2018). Analysis of the grapevine moth Lobesia botrana antennal transcriptome and expression of odorant-binding and chemosensory proteins. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 27. 1–12. 25 indexed citations
18.
Fincheira, Paola, et al.. (2016). Growth promotion of Lactuca sativa in response to volatile organic compounds emitted from diverse bacterial species. Microbiological Research. 193. 39–47. 46 indexed citations
19.
Venthur, Herbert, Filomena De Biasio, A.R. Cole, et al.. (2016). Crystal Structures and Binding Dynamics of Odorant-Binding Protein 3 from two aphid species Megoura viciae and Nasonovia ribisnigri. Scientific Reports. 6(1). 24739–24739. 64 indexed citations
20.
Richardson, Anthony J., et al.. (2001). Egg production, somatic growth and productivity of copepods in the Benguela Current system and Angola-Benguela Front. South African Journal of Science. 97. 251–257. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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